Keygraph
Keygraph provides continuous, agentic penetration testing that automatically scans applications and generates working exploits for every vulnerability it discovers. The platform combines blackbox and whitebox testing techniques to identify security issues across injection, XSS, SSRF, auth, and authz domains, with each finding including reproduction steps and severity ratings. It offers self-hosted and BYOK deployments, and its open-source engine Shannon has 48k+ GitHub stars.
- Cybersecurity
- AI Agents
- Developer Tools
- Artificial Intelligence
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional penetration testing is periodic, manual, and slow, leaving security gaps undetected between assessments. When vulnerabilities are found, they often lack actionable exploit details, making it difficult for development teams to validate and remediate issues quickly. This fragmented approach leads to unpatched risks, SLA breaches, and increased exposure to cyberattacks.
Solution
Keygraph delivers continuous, agentic pentesting that automatically scans applications and generates working exploits for every vulnerability it discovers. The platform combines blackbox and whitebox testing techniques to identify a wide range of security issues, from path traversal and IDOR to XML external entity injection and broken access control. Each finding is presented with detailed evidence, reproduction steps, and severity ratings, enabling developers to understand and fix the root cause efficiently. A centralized dashboard tracks risk over time, new versus resolved findings, and SLA compliance, giving security teams a clear view of their organization's security posture.
Target Audience
Primary customers are application security teams, DevSecOps engineers, and security leaders at software companies who need continuous vulnerability discovery and actionable remediation guidance.
Features
- Automated blackbox and whitebox pentesting agents that continuously probe applications for vulnerabilities on every build or pull request
- Every finding includes a working exploit with reproduction steps and evidence, such as crafted payloads and HTTP requests
- Whitebox pentester reads source code and attacks the running application across five domains: injection, XSS, SSRF, auth, and authz
- Canonical findings repository with unique IDs, severity levels, CVSS scores, and EPSS threat intelligence data
- Agentic SAST with data-flow analysis validated by agents, SCA that surfaces only reachable CVEs, and secrets scanning verified across history
- Code remediation generates verified fixes as reviewable pull requests
- Self-hosted and BYOK deployments available, with support for Anthropic, OpenAI, xAI, AWS Bedrock, gateways, or local models
- CI/CD integrations including a GitHub Action and GitLab CI/CD component with severity gates
- Shannon, an open-source (AGPL-3.0) AI pentester for web applications and APIs, with 48k+ GitHub stars